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Direct search for objects as part of navigation poses a challenge for small items.
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M. Tomono · 2006
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Objects in context
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The role of context for object detection and semantic segmentation in the wild
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GloVe: Global vectors for word representation
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A machine learning approach to visual perception of forest trails for mobile robots
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Image retrieval using scene graphs
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AI2-THOR: An interactive 3D environment for visual AI
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Visual semantic navigation using scene priors
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On evaluation of embodied navigation agents
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Subgoal discovery for hierarchical dialogue policy learning
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Pytorch implementations of asynchronous advantage actor critic
I. Kostrikov · 2018
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Made to measure: Bespoke landmarks for 24-hour, all-weather localisation with a camera
C. Linegar, W. Churchill, and P. Newman · 2016
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Contextual priming and feedback for Faster R-CNN
A. Shrivastava and A. Gupta · 2016
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Asynchronous methods for deep reinforcement learning
V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Semi-supervised classification with graph convolutional networks
T. N. Kipf and M. Welling · 2016
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Target-driven visual navigation in indoor scenes using deep reinforcement learning
Y. Zhu, R. Mottaghi, E. Kolve, J. J. Lim, A. Gupta, L. Fei-Fei, and A. Farhadi · 2017
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Later among the works it cites.
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
M. Wortsman, K. Ehsani, M. Rastegari, A. Farhadi, and R. Mottaghi · 2019
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Challenges of real-world reinforcement learning
G. Dulac-Arnold, D. Mankowitz, and T. Hester · 2019
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Optimal temporal logic planning for multi-robot systems in uncertain semantic maps
Y. Kantaros and G. J. Pappas · 2019
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Benchmarking classic and learned navigation in complex 3D environments
D. Mishkin, A. Dosovitskiy, and V. Koltun · 2019
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To learn or not to learn: Analyzing the role of learning for navigation in virtual environments
N. Kojima and J. Deng · 2019
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Habitat: A platform for embodied AI research
M. Savva, A. Kadian, O. Maksymets, Y. Zhao, E. Wijmans, B. Jain, J. Straub, J. Liu, V. Koltun, J. Malik, et al · 2019
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OK-VQA: A visual question answering benchmark requiring external knowledge
K. Marino, M. Rastegari, A. Farhadi, and R. Mottaghi · 2019
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DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments
A. Pal, C. Nieto-Granda, and H. I. Christensen · 2019
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Learning to navigate using mid-level visual priors
A. Sax, J. O. Zhang, B. Emi, A. Zamir, S. Savarese, L. Guibas, and J. Malik · 2020
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Visual object search by learning spatial context
R. Druon, Y. Yoshiyasu, A. Kanezaki, and A. Watt · 2020
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“Looking at the Right Stuff”
A. Pal, S. Mondal, and H. I. Christensen · 2020
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